On Comparison of Clustering Methods for Pharmacoepidemiological Data.
J Biopharm Stat
; 25(4): 843-56, 2015.
Article
em En
| MEDLINE
| ID: mdl-24905478
ABSTRACT
The high consumption of psychotropic drugs is a public health problem. Rigorous statistical methods are needed to identify consumption characteristics in post-marketing phase. Agglomerative hierarchical clustering (AHC) and latent class analysis (LCA) can both provide clusters of subjects with similar characteristics. The objective of this study was to compare these two methods in pharmacoepidemiology, on several criteria number of clusters, concordance, interpretation, and stability over time. From a dataset on bromazepam consumption, the two methods present a good concordance. AHC is a very stable method and it provides homogeneous classes. LCA is an inferential approach and seems to allow identifying more accurately extreme deviant behavior.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ansiolíticos
/
Análise por Conglomerados
/
Interpretação Estatística de Dados
/
Farmacoepidemiologia
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Biopharm Stat
Assunto da revista:
FARMACOLOGIA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
França